Team Building Blog
What is a Data Product Manager?
In today’s data-driven world, organizations are collecting more data than ever before. However, the sheer volume of data does not always translate into valuable insights or actionable outcomes. Thus, Data Product Managers are emerging as a key role...
7 Core Functions of a Data Product Owner
Organizations are sitting on a goldmine of data. But how do you unlock the true value of this data and transform it into actionable insights that drive business growth? Enter the data product owner, a crucial role that bridges the gap between data...
What is an AI Program Manager?
The potential of AI to transform industries and societies is undeniable. However, bridging the gap between cutting-edge technology and effective project execution is crucial for AI to achieve this potential. To bridge this gap, organizations are...
AI Product Owner
As AI seamlessly integrates into more products, a new breed of product owner is emerging – the AI product owner. These new in-demand professionals are like their broader product counterparts but with several interesting nuances that position them...
What is an Analytics Product Manager?
In today’s data-driven world, an Analytics Product Manager plays a pivotal role in bridging the gap between data and business outcomes. This role drives the transformation of raw data into actionable insights that empower organizations to make...
Data Analytics vs Data Science
Data Analytics vs Data Science – Is there a difference between these two fields? With the explosion of the need to analyze data, it can be confusing to understand what the distinction is between the different related fields of data science and data...
What is an AI Product Manager?
As artificial Intelligence transitions from merely research endeavors into practical use cases for mainstream organizations, it isn’t just big tech that needs professionals with specialized AI talent. Rather, organizations of all sizes and across...
ChatGPT and Data Science Projects
Generative AI, used in Bard and ChatGPT, will provide innovative ways for teams to collaborate and execute projects, transforming the way data science teams operate and interact. In short, as these models evolve, their potential impact on how teams...
Data Science Roles – A Definitive Guide
Gone are the days of a “lone wolf” data scientist filling all the roles in data science. Rather, today’s teams have several different data science roles, each of which executes various functions across the data science life cycle. Each team setup...
Data Science Agility: A Benchmark
Do data science teams use (or think they use) an agile data science team process framework? To help find out, my student (Sucheta Lahiri) recently presented an academic paper that reported on data science agility across 16 organizations.The key...
Achieving Responsible AI
Machine learning predictive models are often used in data science projects. These models often deliver significant value. Unfortunately, there are many examples of AI (machine learning algorithms) not working as desired. For example, a model can...
The Project Manager in Data Science
Data science is an exciting field that can impact nearly all industries and many facets of daily life. Yet in practice, outcomes often don’t live up to expectations. Why not? A major reason is that organizations struggle to apply effective project...
Tips for Hiring a Data Science Manager
Do you need a data science management recruiter? In this post, I’ll explore how to hire a data science manager and if using a data science manager recruiter (or executive search firm) would be helpful. As you likely already know, it can be very...
6 Actions to Be a Better Data Science Manager
Are you a new data science manager? Or a data scientist who wants to become a data science manager? Or, perhaps, a manager who wants to start managing data science teams?
If so, welcome to the world of data science management…
Data Science Management: 5 Key Concepts
The rapid increase in the number of data science projects and teams is driving an increasing need for data science management. To address this gap, it is tempting to think that any project manager (from a different field) could do the job. Or that...
Data Analyst vs Data Scientist
Often, we get asked: “What’s the difference between the data analyst vs data scientist role”? Indeed, the roles have similar responsibilities. Data analysts and scientists have many overlapping skills. But there are distinct differences. And each...
How to Lead Data Science Teams
It’s an understatement that great leadership is challenging and rare. And leading data science teams has unique challenges: Stakeholders might get disillusioned by your team’s inability to deliver magic The battle to recruit and retain data science...
Data Science vs Software Engineering
Data Science vs Software Engineering isn’t really a battle. Rather these are two somewhat overlapping and complementary fields that are similar in many ways. However, dig deeper in the discussion of data science vs software engineering, and you’ll...
5 Keys to Improve a Remote Data Science Team
Many data science teams now have at least some team members working remotely. However, many managers are not used to having team members work remote and so, are not aware of the challenges that need to be considered. With a well defined process,...
What is a Data Science Product Manager?
AI and data science are transitioning from theoretical concepts to tangible solutions for businesses of all sizes and industries. Consequently, companies are hiring data science product managers to manage the complex intersection of data,...
8 Key Data Science Team Roles
Based on my personal experience, below are the 8 key data science team roles to think about when building and leading a data science team. These are not in any specific order, as their importance might vary from one project to another, or from one...
Data Science Team Structure
Should you have a centralized data science team or several decentralized teams? There are numerous options for a data science team structure in mid- to large-sized organizations. Yet, many organizations struggle to decide among having: A...
